286 results about "Building industry" patented technology

The invention discloses a low-carbon building monitoring system and method based on digital twinning, and relates to the technical field of digital twinning, the system comprises a data acquisition unit, a computing power cooperation unit, a regulation and control execution unit and a user interaction unit, the data acquisition unit carries out regional targeted timing monitoring, builds a unified semantic standard and a dynamic knowledge graph, and sends the unified semantic standard and dynamic knowledge graph to the user interaction unit; the comprehensiveness and efficiency of data association analysis are improved; a three-level computing power collaboration system is constructed through the computing power collaboration unit, building monitoring information is integrated, complex simulation of a digital twin module is carried out, an energy transmission path and equipment fault risks are accurately tracked, prediction optimization and long-term regulation and control management are carried out, and the construction efficiency is improved. Therefore, a full-life-cycle integrated management framework in a macroscopic geographical environment, a mesoscopic energy link and microscopic equipment of a building cluster is built, cross-domain collaborative analysis is realized, the real-time requirement is met, multi-target optimization design for balancing energy cost, energy efficiency and comfort is realized, and carbon neutralization targets in the building industry are assisted to fall into the ground.

The invention relates to the technical field of computer application, in particular to an industry document generation method based on a large language model and retrieval enhancement, which comprises the following steps: acquiring a first user demand of a building engineering project to be input, performing data preprocessing on the first user demand, and acquiring the preprocessed first user demand; performing semantic alignment on the preprocessed first user demand by adopting a cross-modal embedding model to generate a multi-modal fusion vector; according to a dynamic semantic slicing strategy, performing slice segmentation on the multi-modal fusion vector, and obtaining a plurality of slice units containing complete semantics as segmented multi-modal fusion vectors; inputting the segmented multi-modal fusion vector into a pre-trained special retrieval enhancement large model for the building industry, and generating an industry document which conforms to a building engineering specification and a first user demand; according to the method, the problems that the generated building related document content in the building industry is low in professionality and accuracy and cannot meet the industry requirements are solved.

The invention discloses a building decoration carbon emission optimization decision support system. The data acquisition unit acquires real-time data through the multi-source sensing device, and the data preprocessing unit performs abnormal value filtering, format unification and standardization operation on the real-time data. And the decision optimization unit integrates an intelligent dynamic strategy adjustment mechanism and a time sequence prediction model, and generates an optimization scheme through efficiency comparison incremental learning and feedback correction. And the visual output unit converts the scheme into a graphical display interface. In addition, the system is provided with a performance evaluation unit, the carbon emission reduction rate can be counted, the decision accuracy can be analyzed, the comprehensive efficiency score can be generated, and the data acquisition frequency and algorithm parameters can be dynamically adjusted. The system provides comprehensive support for carbon emission optimization of building decoration and assists green development of the building industry.

The invention provides an unfired lightweight aggregate with high lithium slag doping amount and a method for synergistically preparing the unfired lightweight aggregate from lepidolite slag and lepidolite slag. The unfired lightweight aggregate with high lithium slag doping amount is prepared from the following raw materials: lithium slag and a functional additive, the lithium slag material comprises lepidolite slag and spodumene slag; the functional additive comprises a binder, an exciting agent and a mineralizing agent. Through cooperation of the lepidolite slag and the spodumene slag, the dry basis doping amount of the lithium slag in the unfired lightweight aggregate is increased to 80% or above, the cement doping amount is reduced to 15% or below, introduction of active components such as fly ash is not needed, the cement doping amount is low, the curing time is short, and high-doping-amount resource utilization of the lithium slag is achieved; the unfired lightweight aggregate has relatively high cylinder compressive strength and relatively low water absorption rate and bulk density, and meanwhile, efficient solidification of beryllium element is effectively realized in combination with a mineralizing agent; the material has excellent comprehensive performance and can be widely applied to the fields of building industry and the like.

The invention discloses an industrial building business service management method and device and a medium, and belongs to the technical field of building service management, and the method specifically comprises the steps: constructing a multi-dimensional data fusion model; defining cost, progress, quality and security dimension data ranges and acquisition nodes, and storing the data ranges and the acquisition nodes in a model database after standardization; based on the standardized data of the multi-dimensional data fusion model, analyzing a dimension internal relationship by using an association rule mining algorithm, defining a dimension mapping relationship, and integrating to form an association rule base; establishing a multi-dimensional linkage analysis module; the module is established by taking a model database as a data source and a multi-dimensional data association rule base as a logic support, and a threshold triggering mechanism and a cross-link data calling function are set; constructing a business collaborative decision support module; business requirements of multiple departments are integrated; a multi-dimensional data visualization monitoring platform is built; and designing a linkage trend chart based on a result of the multi-dimensional linkage analysis module.

The invention relates to an intelligent identification and import method for a building industry communication project contract scanning copy. The method comprises the steps of obtaining a target template and a to-be-processed contract scanning copy, preprocessing the contract scanning copy, performing structured analysis on the target template, extracting a field standard value, marking a field type, and generating a field type mapping table; inputting the preprocessed contract scanning copy into a multi-modal feature analysis model to obtain a contract information extraction set; performing semantic matching on the contract information extraction set and a field type mapping table to generate a field matching result, and inputting successfully matched contract information into a target template; and if the necessary fields are missing, retrieving associated historical information from the dynamic knowledge base through an entity identification and link technology, obtaining contract information of missing field mapping, and inputting the contract information of missing field mapping into the target template. According to the invention, the recognition accuracy is improved, and the labor cost is reduced.

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

The invention belongs to the technical field of building construction, and particularly discloses a building performance multi-objective optimization method and equipment based on an intelligent algorithm. Comprising the steps of performing parametric simulation on building performance to obtain a sample data set; constructing a BO-CatBoost prediction model, predicting the building lighting performance, the building energy consumption, the building thermal comfort and the building carbon emission by adopting the BO-CatBoost prediction model, and establishing a nonlinear mapping relationship between each influence factor and the building energy consumption, the carbon emission, the lighting and the thermal comfort; and constructing a multi-target prediction function by taking different climate zone variables as constraint conditions. According to the method, efficient collaborative optimization of performance in multiple aspects of energy consumption, carbon emission, lighting, thermal comfort and the like of the building is realized, so that the building can effectively adapt to different climate zone environments while meeting multi-target performance requirements, and an efficient, universal and widely applicable optimization strategy is provided for sustainable development of the building industry.

The invention provides a building material retrieval method, which comprises the following steps of: acquiring a building material retrieval request described by a natural language of a user, performing deep semantic analysis by using a large language model to extract key information such as names, specifications, performances, scenes and the like, and generating a keyword set; performing synonym, hypernym, hypernym, industry term and associated word expansion on the keywords based on material attributes and semantic correlation to form an expanded keyword set; comprehensively retrieving multi-dimensional attributes such as names, specifications, performance, manufacturers, prices and the like in the building material database to obtain preliminary results; and performing weighted scoring and sorting by using multiple factors such as a semantic matching degree, an attribute matching degree, user evaluation and a market trend, and outputting a visual chart. According to the method, the building material retrieval accuracy, efficiency and user experience can be improved, and diversified retrieval requirements of professional users in the building industry are met.

The invention discloses a building industry multi-subject collaborative full life cycle carbon emission management system and method, and relates to the technical field of building industry carbon emission management. The system comprises a carbon perception and data collaboration module, a carbon simulation and deduction module, a carbon optimization and collaborative regulation and control module, a carbon accounting and auditing traceability module and a carbon decision and knowledge generation module. Multi-source heterogeneous data is converted into a carbon flow unit with time, space and responsibility subject attributes, data checking, locking and compliance sharing are achieved by means of a multi-subject data collaboration pool, carbon data barriers among all responsibility subjects are broken through, the problems of fragmentization of carbon data collection and lack of collaboration are solved, and the data collection efficiency is improved. And meanwhile, the carbon accounting and audit traceability module completes multi-dimensional accounting based on the carbon flow unit, and establishes a digital carbon chain pointing to an original data source and a responsibility subject, so that full-link traceability of carbon emission data is realized.

The invention discloses a Langchain-based building specification graphical representation multi-modal question answering method and equipment, belongs to the technical field of artificial intelligence and building industry crossing, and is used for solving the problems of difficulty in processing multi-modal information, low query efficiency and the like in building industry specification graphical representation question answering. The method comprises the following steps: constructing a building specification multi-modal database, and carrying out storage management on building specification multi-modal data; based on a user query instruction, retrieving the multi-modal database from different dimensions; generating a structured answer corresponding to the user query instruction according to the retrieval result; and performing image-text consistency verification on the structured answer, and after the verification is passed, outputting the answer corresponding to the user query instruction. According to the method, a complete building specification question answering system is constructed, efficient and accurate building specification multi-mode question answering is achieved, and the building specification query efficiency is improved.

The invention discloses a device and a method for testing impermeability of chloride ions in subsea tunnel concrete, belongs to the technical field of building industries, establishes the relationship among the total amount of a sodium chloride solution, the penetration depth of the chloride ions, the permeability coefficient of the chloride ions and the resistivity, and innovatively provides a method for detecting the permeability coefficient of the chloride ions based on the resistivity. And a precise determination model for determining the concrete chloride ion diffusion depth and the chloride ion diffusion coefficient through the resistivity is constructed. The detection device designed by the invention comprises a test piece forming mold, a test piece placement platform, a pressurization permeation module, a resistivity test module, a central control system and a computer output system, and can be suitable for evaluating the chloride ion impermeability of concrete structures serving in environments with different seawater depths and different seawater concentrations. The total amount of the sodium chloride solution, the chloride ion penetration depth and the chloride ion penetration resistance coefficient in the subsea tunnel concrete can be accurately measured, and the device has the advantages of being easy and convenient to operate and high in intelligent degree.

The invention relates to the technical field of concrete 3D printing, in particular to modified alkali-resistant regenerated glass fiber reinforced concrete and a preparation process thereof, and the modified alkali-resistant regenerated glass fiber reinforced concrete is prepared from the following components in parts by weight: 600-650 parts of cement, 90-100 parts of fly ash, 30-35 parts of silica fume, 500-600 parts of river sand, 0.5-6 parts of modified alkali-resistant regenerated glass fibers, 10-15 parts of a water reducing agent and 120-200 parts of water. According to the invention, the regenerated glass fiber obtained by recovering the waste fan blades is used as a reinforcing material of the concrete, so that the resource consumption can be effectively reduced, and the carbon emission is reduced; the invention provides a surface modification method aiming at regenerated glass fibers, so that the long-term durability of the regenerated glass fibers in an alkaline cement matrix is enhanced, the generation of microcracks on a fiber and cement interface is reduced, and the constructability and excellent mechanical properties of the 3D printing concrete are improved. The method not only meets the requirements of digital and intelligent transformation and upgrading of the building industry, but also provides a new method for recycling of waste resources and sustainable development of the building industry, and has relatively high economic and environmental benefits.

The invention relates to the technical field of building industry material supply chains, in particular to a material supply chain intelligent recommendation method and system for the building industry, and the method comprises the following steps: a supplier uploads a report on a platform, and the platform generates an archive data packet and synchronizes the archive data packet to a purchase cloud platform; the purchase cloud platform generates industry labels after receiving the data, calculates index scores and builds a table to form a classification index system; a buyer submits a demand, the platform analyzes the demand and then executes a screening mechanism, and suppliers are screened and comprehensively scored to form a scheme list; the buyer evaluates, selects and generates an order, and the platform updates inventory and logistics information. Through a multi-dimensional data processing technology, supplier information is comprehensively recorded, classification indexes are constructed, and accurate screening is achieved; the screening standard is flexibly adjusted by applying a dynamic scoring and hierarchical screening technology; through the grouping and parallel computing technology, the global problem is disassembled, and the computing efficiency is improved; through a comprehensive scoring technology, suppliers are objectively evaluated, the purchasing efficiency is finally improved, and supply chain matching is optimized.

The invention discloses a digital transformation maturity evaluation system and method based on a multi-dimensional quantitative index in the technical field of building industry digitization. The method comprises the following steps: acquiring various system data of an enterprise; the method comprises the following steps of: normalizing original data of sub-indexes of each dimension in data of each system of an enterprise through an evaluation engine deployed in a cloud server, weighting and aggregating, and calculating a comprehensive maturity index; calculating a dynamic evolution rate by using an evaluation engine in combination with historical comprehensive maturity index data, an enterprise resource investment ledger and an industry reference library; calculating bottleneck factors by using an evaluation engine in combination with enterprise self-evaluation data and an industry benchmark database; the enterprise bottleneck dimension is evaluated based on the bottleneck factor and then an improved scheme is fed back, the enterprise efficiency level is evaluated based on the dynamic evolution rate and then resource investment is adjusted, and the enterprise maturity is evaluated based on the comprehensive maturity index and then a stage route map is generated. According to the invention, the digital level of the building enterprise can be scientifically diagnosed, and transformation path planning is guided.

The invention relates to the technical field of building industry internet data management, in particular to a building internet data storage, construction strategy adjustment and building task retrieval method. The invention provides a building internet data storage method. Building internet data is stored in a database in a knowledge graph structure; tense labels are embedded through attributes, and cross-domain semantic association is established through a knowledge graph technology, so that ordered storage of building internet data is facilitated, and subsequent data management, retrieval and calling are facilitated. According to the method, data are stored in a complex graph structure, and efficient management, intelligent service and dynamic evolution of large-scale engineering element data are supported.

The invention discloses a BIM model-based method and system for automatically generating a bill of quantity, and a medium. The method comprises the steps of obtaining component attribute data of a plurality of components in a target project; inputting the component attribute data of each component into a BIM model for data matching, and determining component parameter data and engineering quantity data of each component according to a data matching result; obtaining a plurality of comparison components based on a preset database, performing similarity matching based on the component parameter data of the plurality of comparison components and the component parameter data of the plurality of components, and determining comprehensive unit price data of each component according to a similarity matching result; the embodiment of the invention can improve the efficiency of generating the engineering quantity list by using the quantity calculation software, and can be widely applied to the technical field of data analysis related to the building industry.

The invention discloses a construction industry intelligent construction site construction machinery management platform which comprises a sensing layer, a positioning module, a video monitoring module, a network transmission module, a platform layer and a risk planning module. The risk planning module is introduced, the module dynamically evaluates a current operation risk coefficient by analyzing historical accident data and an equipment operation rule, and intelligently adjusts the motion capture frequency of the video monitoring module accordingly, and when the risk coefficient is relatively high, the system automatically improves the monitoring frequency and strengthens the supervision strength on a high-risk time period or working condition; and when the risk is relatively low, the monitoring frequency is properly reduced, so that on the premise of ensuring the safety, system resource occupation is optimized, invalid data redundancy is avoided, the overall operation efficiency is improved, 'on-demand response 'of safety monitoring is realized, the supervision of a high-risk link is enhanced, resource waste and privacy dispute caused by all-weather high-frequency monitoring are avoided, and the safety of the system is improved. And flexibility and scientificity of intelligent management are embodied.

The invention discloses an all-solid-waste-based cementing material for inducing chlorine salt in waste incineration fly ash by using active magnesium oxide and a preparation method of the all-solid-waste-based cementing material. According to the invention, active magnesium oxide is utilized to induce in-situ conversion of the chlorine salt in the waste incineration fly ash into the cementing material, so that the problems of unstable curing system and potential secondary environmental pollution caused by harmful impurity chlorine salt are effectively improved, and the reaction degree and strength development of the cementing system are promoted under the action of co-processing the copper-containing electroplating sludge; and meanwhile, it is guaranteed that the heavy metal leaching concentration of the system meets the GB / T 16889-2008 national safety landfill standard. The cementing material prepared by the invention is expected to be used as building materials for roadbeds, land leveling, pit backfilling and the like, effectively widens the value-added utilization mode of solid wastes, realizes efficient toxicity reduction of the waste incineration fly ash, has positive influence on the environment, society and economy, and has wide application prospects. And an innovative sustainable development mode is provided for resource utilization of solid wastes and green transformation of the building industry.

The invention relates to the technical field of intelligent construction in the construction industry, and particularly discloses an intelligent construction method and system based on artificial intelligence and intelligent equipment. The method comprises the following steps of S1, engineering information input, S2, construction scheme planning, S3, intelligent construction and collaborative operation, S4, digital twinning real-time mapping, S5, a monitoring and optimization stage and S6, intelligent construction efficiency evaluation. According to the invention, a building engineer inputs a three-dimensional engineering model and intelligent equipment information, and a strong artificial intelligence central system automatically identifies and splits the model and deduces a construction scheme; the intelligent equipment receives an instruction for collaborative operation through 5G communication, and obtains a construction collaborative efficiency evaluation coefficient and a construction quality evaluation coefficient through analysis; according to the intelligent building efficiency evaluation system and method, through cooperation of technologies such as artificial intelligence and cloud computing with distributed operation of the intelligent robot, refined and efficient production is achieved, and intelligent upgrading of the building industry is promoted.

The invention relates to a fabricated cavity component intelligent production system based on an SPCS system and a whole-process quality control method. The system comprises a modular flexible production line, an intelligent turnover machine and a concrete pouring intelligent cooperative control system, and efficient and intelligent production of components is achieved. According to the full-process quality control method, high quality and stability of production are ensured through multi-dimensional quality defect AI pre-judgment, process parameter dynamic optimization, full-life-cycle quality tracing and a self-adaptive process correction mechanism. The production efficiency is improved, the labor dependence is reduced, the environmental pollution is reduced, and a design-production-construction-operation and maintenance whole industrial chain solution is provided for the prefabricated building industry.

The utility model relates to building industry technical field discloses a kind of building machinery transfer equipment, including rack, transplanting device is installed on the rack, with the rack dismounting connection, lifting device is set in the middle of the transplanting device, the transplanting device can be moved linearly along horizontal direction relative to the rack to drive the lifting device to move, clamping device is installed at the bottom end of the lifting device, the lifting device can drive the clamping device to move along vertical direction, walking wheel is fixedly installed at the four corners of the rack bottom end by bolt, solenoid valve is installed in one side in the rack, support column is set in the middle of the rack and is traversely penetrated;High flexibility can be when transferring building goods, when construction site construction, it will not need manual to move goods because of road problem, construction efficiency is high, greatly reduces artificial cost and labor force by the carrying of machine, with good market application value.

The utility model relates to a combined spiral expanding drill bit, and belongs to the technical field of construction drilling tools in the building industry. The structure is composed of an upper structure and a lower structure. A spiral blade I is arranged on the outer circumference of a core tube I of the upper structure, an axial opening is formed in the outer circumference of the lower end part of the core tube I, a diameter expanding block is movably connected to the opening, and the diameter expanding block is connected with a diameter expanding device arranged in the core tube I through a yoke plate; a spiral blade II is arranged on the outer circumference of a core pipe II of the lower structure, the spiral blade II and the spiral blade I are the same in rotating direction, and the joint is kept continuous; the upper end surface of the core tube II is movably connected with the lower end surface of the core tube I; the lower end of the core tube II is movably connected with a drill tip assembly; an inner pipe is arranged in an inner cavity of the core pipe I, and an inner cavity of the inner pipe is communicated with an inner cavity of the core pipe II. The drill bit adopts a combined structure, and can be quickly disassembled without damaging the oil cylinder when the abraded part of the drill bit is repaired, so that the replacement efficiency is improved, the construction progress is ensured, and the drill bit cost is reduced.

The invention discloses a construction industry warehouse order time consumption prediction method and system based on machine learning. The method comprises the steps of collecting order data and cleaning the order data; constructing a multivariable feature set and carrying out one-hot coding; an XGBoost model is adopted for training, and parameters are optimized through grid search and random search; a prediction interface is deployed to a warehouse management system, the system comprises a data acquisition module, a data preprocessing module, a feature engineering module, a model training module, a prediction interface module and a prediction module, and tests show that the prediction precision Rreaches 0.85, the MAE is 10.6 minutes, the scheduling conflict rate is reduced to 2%, and the operating cost is saved by 75% annually. The problems that a traditional method depends on manpower and is low in precision are solved.

The utility model relates to building industry technical field discloses a novel socket device of smoke flue, including iron sheet frame, the inside of iron sheet frame is provided with lower smoke flue pipe and upper smoke flue pipe, upper smoke flue pipe sets up the top of lower smoke flue pipe, is provided with sealing assembly between lower smoke flue pipe and upper smoke flue pipe, sealing assembly includes connecting frame, connecting frame sets up between lower smoke flue pipe and upper smoke flue pipe, and both sides of connecting frame are fixedly connected with inner frame and outer frame, the utility model discloses utilize bottom sealing gasket, inner sealing frame and outer sealing frame carry out first layer sealing to butt joint gap, then through the gap of outer inner concrete cushion layer sealing smoke flue pipe and outer frame forms second layer sealing, utilizes sealing rubber strip to form third layer sealing to the included angle gap sealing, heat shrinkage film is wrapped and is convenient for the fourth layer sealing of enhancing sealing property, and the outer concrete cushion layer outer seal fixed heat shrinkage film and further strengthen the sealing property and form the fifth layer sealing.

The application discloses a kind of low-carbon composite cementitious material for deep foundation pit engineering and preparation method thereof, belong to building material technical field.The low-carbon composite cementitious material for deep foundation pit engineering, including following weight parts raw materials: 70-90 parts of slag, 5-10 parts of cement, 10-30 parts of phosphogypsum, 5-20 parts of modified secondary aluminum ash, 2-10 parts of modified 5A zeolite, 5-10 parts of organic curing agent, 1-5 parts of carbide slag, 0.03-0.2 parts of alcohol amine early strength agent, 0.5-8 parts of potassium dihydrogen phosphate, 2-8 parts of magnesium oxide, 2-3.5 parts of acid activator, 20-50 parts of water, by making full use of industrial waste slag, secondary aluminum ash, carbide slag, phosphogypsum, reduce resource waste and environmental pollution, convert industrial solid waste into environmental protection building material, realize the diversification of product, functionalization, green, can replace traditional reinforced concrete material, significantly reduce the carbon emission in deep foundation pit engineering, help building industry low-carbon transformation.

This invention relates to the field of building materials supply chain technology, specifically to an intelligent recommendation method and system for building materials supply chains, comprising the following steps: suppliers upload reports to a platform, the platform generates a data package of information and synchronizes it to a procurement cloud platform; the procurement cloud platform receives the data, generates industry tags, calculates indicator scores, and builds tables to form a classification index system; buyers submit requirements, the platform parses the requirements and executes a screening mechanism to screen suppliers and generate a list of solutions based on comprehensive scoring; buyers evaluate and select suppliers to generate orders, and the platform updates inventory and logistics information. This invention comprehensively records supplier information and constructs a classification index through multi-dimensional data processing technology, achieving accurate screening; it uses dynamic scoring and hierarchical screening technology to flexibly adjust screening criteria; it breaks down the global problem through grouping and parallel computing technology to improve computational efficiency; and it objectively evaluates suppliers through comprehensive scoring technology, ultimately improving procurement efficiency and optimizing supply chain matching.

The invention relates to the technical field of the building industry, and discloses a fabricated steel structure and an installation method, the fabricated steel structure comprises frame columns and frame beams, and the frame columns and the frame beams are connected in a matched mode; the modular node units are detachably connected with the frame columns and the frame beams respectively; the modularized joint unit comprises a first connecting plate and a second connecting plate, the sides, deviating from each other, of the first connecting plate and the second connecting plate are suitable for being connected with one ends of the adjacent frame columns correspondingly, and a box type steel column section is arranged between the first connecting plate and the second connecting plate; the two ends of the box type steel column section are connected with the first connecting plate and the second connecting plate correspondingly. The modularized joint units are further provided with I-shaped steel beam ends, and the two I-shaped steel beam ends are connected with the two ends of the box type steel column section respectively in the extending direction of the frame beam.

The utility model discloses a movable robot construction device based on a fusion positioning system. The movable robot construction device comprises a movable construction platform, a mechanical arm carried on the platform and a construction tool assembled at the tail end of the mechanical arm. The mobile construction platform is further provided with a UWB signal receiver and an IMU motion inertial sensor, and the UWB signal receiver and the IMU motion inertial sensor are used for achieving positioning and navigation of the mobile construction platform. The building tool comprises a clamping jaw assembly, a nail gun assembly and a visual assembly which are integrated, and the visual assembly is used for being matched with the clamping jaw assembly and the nail gun assembly to achieve automatic grabbing, transferring and fixing of building timber. By fusing an intelligent positioning system and an unmanned construction technology, the system can solve the problems of low efficiency, poor precision, insufficient safety and the like in traditional manual construction, has wide application prospects in the field of intelligent building construction, is particularly suitable for automatic construction of well dry type wood structures, and has wide application prospects. And the efficiency and quality of building construction can be remarkably improved, and intelligent development of the building industry is promoted.

The invention discloses a high-rise emergency escape structure, and provides a high-rise fire emergency escape structure for the building industry. On the basis of a conventional infrastructure, an eave is arranged outside a window (4), a fire wall is arranged on the eave or the side face of a balcony, a single-side mechanical unlocking automatic closing fireproof door (3) is arranged on the fire wall, and a platform (5) is arranged outside the single-side mechanical unlocking automatic closing fireproof door (3). A self-folding pedal (2) is arranged on the platform (5), or the self-folding pedal (2) and a rod (1) are directly arranged outside the single-side mechanical unlocking automatic closing fireproof door (3). And the problem that people are difficult to escape after the high-rise residence is on fire can be easily solved in cooperation with the corresponding channel and the fireproof, heat-insulating, smoke-isolating and anti-theft device. Generally, a single person can escape to the ground within seconds. And the casualty rate during high-rise fire can be greatly reduced. And neighbors cooperate with each other, so that more fire-fighting safety channels can be provided. In addition, casualties caused by fire disasters can be greatly reduced by covering the fire source and wrapping the body with the fireproof heat insulation cloth.